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From predictive to agile: why complex work needs 'many small corrections'

Lesson 1 covered the predictive (waterfall) lifecycle: fix the full scope and plan upfront — a good fit when both requirements and technology are certain. But software and product work is complex, and requirements keep changing; getting everything right upfront just isn't realistic.

Scrum's answer is empirical process control: use short iterations (Sprints) to deliver a small usable increment each time, inspect the feedback, then adapt the next step — turning 'one all-in bet' into 'many small corrections,' which lowers risk and the cost of rework.

That is exactly the consensus 17 software pioneers reached in the 2001 *Manifesto for Agile Software Development*. It establishes four values:

- Individuals and interactions over processes and tools
- Working software over comprehensive documentation
- Customer collaboration over contract negotiation
- Responding to change over following a plan

Behind the manifesto are 12 principles, for example: working software is the primary measure of progress, welcome changing requirements, deliver frequently, business people and developers work together daily, and maintain a sustainable pace.

⚠️The most misread line: the manifesto itself says 'while there is value in the items on the right, we value the items on the left more' — it is a priority ordering, not a rejection of the right-hand items. Agile teams still write documentation, honor contracts, and make plans; when the two sides conflict, individuals and interactions, working software, customer collaboration, and responding to change take priority.
Predictive 'one all-in bet' vs empirical 'many small corrections'; the Agile Manifesto's four values — left over right, without rejecting the right